Statistical Inference

Total Lectures

40

Mod-01 Lec-01 Introduction and Motivation

Lectures

Mod-01 Lec-01 Introduction and Motivation

Mod-02 Lec-02 Basic Concepts of Point Estimations - I

Mod-03 Lec-03 Basic Concepts of Point Estimations - II

Mod-04 Lec-04 Finding Estimators - I

Mod-05 Lec-05 Finding Estimators - II

Mod-06 Lec-06 Finding Estimators - III

Mod-07 Lec-07 Properties of MLEs

Mod-08 Lec-08 Lower Bounds for Variance - I

Mod-09 Lec-09 Lower Bounds for Variance - II

Mod-10 Lec-10 Lower Bounds for Variance - III

Mod-11 Lec-11 Lower Bounds for Variance - IV

Mod-12 Lec-12 Sufficiency

Mod-13 Lec-13 Sufficiency and Information

Mod-14 Lec-14 Minimal Sufficiency, Completeness

Mod-15 Lec-15 UMVU Estimation, Ancillarity

Mod-16 Lec-16 Invariance - I

Mod-17 Lec-17 Invariance - II

Mod-18 Lec-18 Bayes and Minimax Estimation - I

Mod-19 Lec-19 Bayes and Minimax Estimation - II

Mod-20 Lec-20 Bayes and Minimax Estimation - III

Mod-21 Lec-21 Testing of Hypotheses : Basic Concepts

Mod-22 Lec-22 Neyman Pearson Fundamental Lemma

Mod-23 Lec-23 Applications of NP lemma

Mod-24 Lec-24 UMP Tests

Mod-25 Lec-25 UMP Tests (Contd.)

Mod-26 Lec-26 UMP Unbiased Tests

Mod-27 Lec-27 UMP Unbiased Tests (Contd.)

Mod-28 Lec-28 UMP Unbiased Tests : Applications

Mod-29 Lec-29 Unbiased Tests for Normal Populations

Mod-30 Lec-30 Unbiased Tests for Normal Populations (Contd.)

Mod-31 Lec-31 Likelihood Ratio Tests - I

Mod-32 Lec-32 Likelihood Ratio Tests - II

Mod-33 Lec-33 Likelihood Ratio Tests - III

Mod-34 Lec-34 Likelihood Ratio Tests - IV

Mod-35 Lec-35 Invariant Tests

Mod-36 Lec-36 Test for Goodness of Fit

Mod-37 Lec-37 Sequential Procedure

Mod-38 Lec-38 Sequential Procedure (Contd.)

Mod-39 Lec-39 Confidence Intervals

Mod-40 Lec-40 Confidence Intervals (Contd.)

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